Blar i Vitenskapelige publikasjoner (TN-IDE) på tittel

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    • An architecture for self-healing autonomous object groups 

      Meling, Hein (Journal article; Peer reviewed, 2007)
      Jgroup/ARM is a middleware for developing and operating dependable distributed Java applications. Jgroup integrates the distributed object model of Java RMI with the object group paradigm, enabling construction of ...

    • Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images 

      Kanwal, Neel; Lopez-Perez, Miguel; Kiraz, Umay; Zuiverloon, Tahlita C M; Molina, Rafael (Peer reviewed; Journal article, 2023)
      Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called whole slide image (WSI), for further examination. ...

    • Array-based logic for realizing inference engine in mobile applications 

      Davidrajuh, Reggie (Journal article; Peer reviewed, 2007)
      Mobile and wireless devices suffer from technological limitations such as limited battery life and limited memory size. Hence, use of technologies for mobile applications is confined to those technologies that are faster ...

    • The ARTICONF Approach to Decentralized Car-Sharing 

      Saurabh, Nishant; Rubia, Carlos; Palanisamy, Anandakumar; Koulouzis, Spiros; Sefidanoski, Mirsat; Chakravorty, Antorweep; Zhao, Zhiming; Karadimce, Aleksandar; Prodan, Radu (Peer reviewed; Journal article, 2021)
      Social media applications are essential for next-generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance ...

    • ARTICONF decentralized social media platform for democratic crowd journalism 

      Rito Lima, Inês; Filipe, Vasco; Marinho, Claudia; Ulisses, Alexandre; Chakravorty, Antorweep; Hristov, Atanas; Saurabh, Nishant; Zhao, Zhiming; Xin, Ruyue; Prodan, Radu (Peer reviewed; Journal article, 2023)
      Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing ...

    • Artifact Correction in Short-Term HRV during Strenuous Physical Exercise 

      Krolak, Aleksandra; Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-11)
      Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many ...

    • Artifacts on Magnetic Resonance Imaging from Electronic Identification Enablement in Silicone Gel Implants Are Not Negligible 

      Kurz, Kathinka Dæhli; Kallevåg, Øystein; Austrått, Kenneth; Styr, Bodil Margrethe; Leiknes, Jon Bjarne; Krøger, Pål (Peer reviewed; Journal article, 2021)
      Breast implants filled with silicone gel are used worldwide for cosmetic reasons, or breast reconstruction following risk-reducing or therapeutic mastectomy. The importance of identifiable implants is undeniable. A recent ...

    • Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network 

      Amin, Muhammad Saad; Rizvi, Syed Tahir Hussain; Mazzei, Alessandro; Anselma, Luca (Peer reviewed; Journal article, 2023)
      Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations ...

    • Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support 

      Gavade, Anil B.; Nerli, Rajendra; Kanwal, Neel; Gavade, Priyanka A.; Pol, Shridhar Sunilkumar; Rizvi, Syed Tahir Hussain (Peer reviewed; Journal article, 2023)
      Prostate cancer (PCa) is a significant health concern for men worldwide, where early detection and effective diagnosis can be crucial for successful treatment. Multiparametric magnetic resonance imaging (mpMRI) has evolved ...

    • Automated test case generation for the Paxos single-decree protocol using a Coloured Petri Net model 

      Wang, Rui; Kristensen, Lars Michael; Meling, Hein; Stolz, Volker (Peer reviewed; Journal article, 2019-04)
      Implementing test suites for distributed software systems is a complex and time-consuming task due to the number of test cases that need to be considered in order to obtain high coverage. We show how a formal Coloured Petri ...

    • Automated test case generation for the Paxos single-decree protocol using a Coloured Petri Net model 

      Wang, Rui; Kristensen, Lars Michael; Meling, Hein; Stolz, Volker (Peer reviewed; Journal article, 2019-04)
      Implementing test suites for distributed software systems is a complex and time-consuming task due to the number of test cases that need to be considered in order to obtain high coverage. We show how a formal Coloured Petri ...

    • Automatic analysis of X (Twitter) data for supporting depression diagnosis 

      Królak, Aleksandra; Wiktorski, Tomasz; Żmudzińska, Aleksandra (Peer reviewed; Journal article, 2023-12)
      Depression is an increasingly common problem that often goes undiagnosed. The aim of this paper was to determine whether an analysis of tweets can serve as a proxy for assessing depression levels in the society. The work ...

    • Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning 

      Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Kvikstad, Vebjørn; Janssen, Emiel; Tøssebro, Erlend; Lillesand, Melinda (Peer reviewed; Journal article, 2021-08)
      The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ...

    • Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris 

      Khanmohammadi, Mahdieh; Sæland, Charlotte; Engan, Kjersti; Eftestøl, Trygve Christian; Larsen, Alf Inge (Journal article; Peer reviewed, 2019-01)
      Aim: Our aim was to automatically estimate the blood velocity in coronary arteries using cine X-ray angiographic sequence. Estimating the coronary blood velocity is a key approach in investigating patients with angina ...

    • Automatic Supervisory Controller for Deadlock Control in Reconfigurable Manufacturing Systems with Dynamic Changes 

      Kaid, Husam; Al-Ahmari, Abdulrahman; Li, Zhiwu; Davidrajuh, Reggie (Peer reviewed; Journal article, 2020-07)
      In reconfigurable manufacturing systems (RMSs), the architecture of a system can be modified during its operation. This reconfiguration can be caused by many motivations: processing rework and failures, adding new products, ...

    • Automating Security in a Continuous Integration Pipeline 

      Chalishhafshejani, Sohrab; Pham, Bao Khanh; JAATUN, Martin Gilje (Chapter, 2022)
      Traditional approaches to software security are based on manual methods, which tend to stall development, leading to inefficiency. To speed up a software development lifecycle, security needs to be integrated and automated ...

    • Availability model of a 5G-MEC system 

      Pathirana, Thilina Dhanushka Kalahe; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) is one of the enabling technologies of the fifth generation (5G) of mobile networks. MEC enables services with strict latency requirements by bringing computing capabilities close to the ...

    • AWESOME: an auction and witness enhanced SLA model for decentralized cloud marketplaces 

      Shi, Zeshun; Ivankovic, Veno; Farshidi, Siamak; Surbiryala, Jayachander; Zhou, Huan; Zhao, Zhiming (Peer reviewed; Journal article, 2022)
      In recent decades, the world has witnessed cloud computing as an essential technology that changes the traditional application Development and Operation (DevOps) lifecycle. However, current cloud software DevOps and Service ...

    • BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models 

      Wibawa, Febrianti; Catak, Ferhat Özgur; Sarp, Salih; Kuzlu, Murat (Peer reviewed; Journal article, 2022)
      Medical data is frequently quite sensitive in terms of data privacy and security. Federated learning has been used to increase the privacy and security of medical data, which is a sort of machine learning technique. The ...

    • Blockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure 

      Karandikar, Nikita Rajendra; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2021-05)
      Renewable energy microgeneration is rising leading to creation of prosumer communities making it possible to extract value from surplus energy and usage flexibility. Such a peer-to-peer energy trading community requires a ...